Simpson’s Paradox – When Big Data Sets Go Bad

Simpson’s paradox, or the Yule–Simpson effect, is a paradox in probability and statistics, in which a trend that appears in different groups of data but disappears or reverses when these groups are combined. It is sometimes given the impersonal title reversal paradox or amalgamation paradox.